Satellite imaging control method and device, computer equipment and readable storage medium

Abstract

The invention provides a satellite imaging control method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring image quality attribute information of first real-time imaging of a target satellite to a satellite concerned position; if the image quality attribute information of the first real-time imaging is within a preset low-quality range, adjusting a first imaging control parameter of the target satellite; acquiring image quality attribute information of second real-time imaging of the target satellite on the satellite concerned position; if the image quality attribute information of the second real-time imaging is within a preset low-quality range, acquiring imaging quality associated information of the target satellite; and adjusting a second imaging control parameter of the target satellite based on the imaging quality associated information, the second imaging control parameter including an imaging gain. According to the technical scheme, the satellite imaging quality is improved.

Description

[Technical field]

[0001] The present application relates to the field of satellite imaging technology, and in particular to a satellite imaging control method and device, a computer device, and a readable storage medium. [Background technology]

[0002] In today's era of rapid technological development, satellite imaging technology plays a vital role in many fields. Meteorological observation, surveying and mapping, earth resources survey, environmental pollution monitoring, earthquake monitoring, ocean monitoring, agricultural monitoring and many other fields are inseparable from the data provided by satellite imaging payloads.

[0003] However, satellite imaging payloads face many challenges, and the data they acquire is affected by many factors. On the one hand, due to the large differences in surface albedo in different regions, if the subsatellite point is a desert or other area with high surface albedo, the DN (Digital Number, remote sensing image pixel brightness value) value obtained will be larger. When the subsatellite point is a water body or other area with low surface albedo, the DN value obtained will be smaller. On the other hand, the illumination angle in different latitudes will also affect the imaging effect. The illumination angle in low-latitude areas is larger, and the DN value obtained will be larger. The high-latitude areas are directly exposed to sunlight, and the illumination angle is smaller, so the DN value obtained will be smaller. On this basis, the gain of the satellite imaging payload is generally determined by the maximum DN value detected in the relevant technology, which results in low signal-to-noise ratio and insufficient granularity of the data in areas with poor illumination angle and low surface albedo, which cannot meet the needs of high-precision imaging.

[0004] Therefore, how to reasonably adjust satellite imaging-related parameters to meet the needs of high-precision imaging has become a technical problem that needs to be solved urgently. [Summary of the invention]

[0005] The embodiments of the present application provide a satellite imaging control method and apparatus, a computer device, and a readable storage medium, which aim to solve the technical problem in the related art that the adjustment method of satellite imaging related parameters is difficult to meet the high-precision imaging requirements.

[0006] In a first aspect, an embodiment of the present application provides a satellite imaging control method, comprising:

[0007] Acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging;

[0008] If the image quality attribute information of the first real-time imaging is within a preset low quality range, adjusting a first imaging control parameter of the target satellite, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time;

[0009] Acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite;

[0010] If the image quality attribute information of the second real-time imaging is within a preset low quality range, acquiring imaging quality associated information of the target satellite, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite;

[0011] Based on the imaging quality associated information, a second imaging control parameter of the target satellite is adjusted, wherein the second imaging control parameter includes an imaging gain.

[0012] In one embodiment of the present application, optionally, the image quality attribute information includes: one or more of the overall saturation of the image, the saturation of the background signal in the image, and the image noise;

[0013] The step of adjusting the first imaging control parameter of the target satellite if the image quality attribute information of the first real-time imaging is within a preset low quality range comprises:

[0014] If the overall saturation of the first real-time image is greater than a first predetermined saturation threshold, and / or if the saturation of the background signal in the first real-time image is greater than a second predetermined saturation threshold, reducing the imaging aperture of the target satellite;

[0015] If the image noise of the first real-time imaging is greater than a predetermined image noise threshold, the integration time of the target satellite is reduced, and / or the imaging band of the satellite focus position is changed.

[0016] In one embodiment of the present application, optionally, the acquiring the imaging quality associated information of the target satellite includes:

[0017] Acquire the imaging quality associated information of the target satellite at every specified time interval; or

[0018] When a change in the satellite focus position is detected, acquiring imaging quality-related information of the target satellite; or

[0019] In response to obtaining a service level switching instruction for the satellite focus position, imaging quality associated information of the target satellite is obtained to determine a target imaging gain matching the switched service level based on the imaging quality associated information.

[0020] In one embodiment of the present application, optionally, the imaging quality associated information includes multiple items of illumination angle, climate type, real-time weather information, and ground object type at the satellite focus position, and the method of obtaining the illumination angle and the ground object type from the imaging quality associated information of the target satellite includes:

[0021] Obtaining the longitude and latitude information of the satellite's focus position;

[0022] Setting the preset illumination angle corresponding to the latitude information as the illumination angle of the satellite focus position; and

[0023] Based on the longitude information and the latitude information, locate the target grid to which the satellite focus position belongs within the satellite monitoring area;

[0024] The preset feature type corresponding to the target grid is set as the feature type of the satellite focus position.

[0025] In one embodiment of the present application, optionally, before acquiring the imaging quality associated information of the target satellite, the method further includes:

[0026] Based on the object distribution information and the longitude and latitude range information of the satellite monitoring area, the satellite monitoring area is gridded to form a storage matrix, wherein the element in the nth row and the mth column of the storage matrix is ​​the code of the object type corresponding to the grid formed by the nth latitude range and the mth longitude range of the satellite monitoring area;

[0027] Then, locating the target grid to which the satellite focus position belongs within the satellite monitoring area based on the longitude information and the latitude information includes:

[0028] Based on the storage matrix, the target longitude range and target latitude range hit by the longitude information and the latitude information are retrieved, and the grids corresponding to the target longitude range and the target latitude range in the storage matrix are determined as the target grids to which the satellite focus position belongs within the satellite monitoring area.

[0029] In one embodiment of the present application, optionally, adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information includes:

[0030] The imaging quality association information is used as input information of a pre-trained imaging gain prediction model, and the target imaging gain of the target satellite is output through the imaging gain prediction model, wherein the imaging gain prediction model is used to reflect the association relationship between the current imaging quality association information of the satellite focus position and the target imaging gain required for the satellite focus position;

[0031] The target imaging gain is set to the current imaging gain of the target satellite.

[0032] In one embodiment of the present application, optionally, before adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information, the method further includes:

[0033] Acquiring historical imaging data, wherein the historical imaging data includes imaging quality association information and historical imaging gain of effective historical images;

[0034] Based on the imaging quality association information and historical imaging gain of the valid historical images, the imaging gain prediction model is iteratively trained until the deviation percentage between the model output result and the historical imaging gain of the valid historical images is less than or equal to a preset deviation threshold.

[0035] In one embodiment of the present application, optionally, adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information includes:

[0036] Obtain first characteristic values ​​corresponding to the illumination angle, climate type, real-time weather information and ground feature type of the satellite focus location respectively;

[0037] Normalizing the first eigenvalue to obtain second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information, and the land feature type;

[0038] Performing weighted sum processing on the second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information, and the ground feature type, respectively, to obtain the imaging gain requirement of the satellite focus position;

[0039] Determining a parameter range to which the imaging gain requirement belongs, and determining an imaging gain corresponding to the parameter range as the target imaging gain of the target satellite;

[0040] The target imaging gain is set to the current imaging gain of the target satellite.

[0041] In a second aspect, an embodiment of the present application provides a satellite imaging control device, including:

[0042] A first attribute information acquisition unit is used to acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging;

[0043] A first imaging control parameter adjustment unit, configured to adjust a first imaging control parameter of the target satellite if the image quality attribute information of the first real-time imaging is within a preset low quality range, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time;

[0044] A second attribute information acquisition unit, used to acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite;

[0045] an imaging quality associated information acquisition unit, configured to acquire imaging quality associated information of the target satellite if the image quality attribute information of the second real-time imaging is within a preset low quality range, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite;

[0046] The second imaging control parameter adjustment unit is used to adjust the second imaging control parameter of the target satellite based on the imaging quality associated information, wherein the second imaging control parameter includes an imaging gain.

[0047] In one embodiment of the present application, optionally, the image quality attribute information includes: one or more of: overall image saturation, saturation of background signals in the image, and image noise; the first imaging control parameter adjustment unit is used to: if the overall saturation of the image of the first real-time imaging is greater than a first predetermined saturation threshold, and / or, if the saturation of the background signal in the image of the first real-time imaging is greater than a second predetermined saturation threshold, reduce the imaging aperture of the target satellite; if the image noise of the first real-time imaging is greater than a predetermined image noise threshold, reduce the integration time of the target satellite, and / or change the imaging band of the satellite focus position.

[0048] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit includes:

[0049] The first execution unit is used to obtain the imaging quality related information of the target satellite at every specified time interval.

[0050] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit includes:

[0051] The second execution unit is used to obtain the imaging quality related information of the target satellite when it is detected that the satellite focus position changes.

[0052] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit includes:

[0053] The third execution unit is used to obtain the imaging quality associated information of the target satellite in response to the acquisition of the service level switching instruction for the satellite focus position, so as to determine the target imaging gain matching the switched service level based on the imaging quality associated information.

[0054] In one embodiment of the present application, optionally, the imaging quality-related information includes multiple items of illumination angle, climate type, real-time weather information, and ground feature type at the satellite focus location, and the imaging quality-related information acquisition unit includes:

[0055] A longitude and latitude acquisition unit, used to acquire the longitude information and latitude information of the satellite focus position;

[0056] An illumination angle determination unit, configured to set a preset illumination angle corresponding to the latitude information as an illumination angle of the satellite focus position;

[0057] A grid positioning unit, configured to locate a target grid to which the satellite position of interest belongs within a satellite monitoring area based on the longitude information and the latitude information;

[0058] The ground object type determination unit is used to set the preset ground object type corresponding to the target grid as the ground object type of the satellite focus position.

[0059] In one embodiment of the present application, optionally, the device further includes:

[0060] A grid division unit, used for, before the imaging quality associated information acquisition unit acquires the imaging quality associated information of the target satellite, gridding the satellite monitoring area based on the ground object distribution information and the latitude and longitude range information of the satellite monitoring area to form a storage matrix, wherein the element of the nth row and the mth column in the storage matrix is ​​a code of the ground object type corresponding to the grid formed by the nth latitude range and the mth longitude range of the satellite monitoring area;

[0061] The grid positioning unit is specifically used to: based on the storage matrix, retrieve the target longitude range and target latitude range hit by the longitude information and the latitude information respectively, and determine the grid corresponding to the target longitude range and the target latitude range in the storage matrix as the target grid to which the satellite focus position belongs in the satellite monitoring area.

[0062] In one embodiment of the present application, optionally, the second imaging control parameter adjustment unit includes:

[0063] The first processing unit is used to use the imaging quality association information as input information of a pre-trained imaging gain prediction model, and output the target imaging gain of the target satellite through the imaging gain prediction model, wherein the imaging gain prediction model is used to reflect the association between the imaging quality association information of the current satellite focus position and the target imaging gain required for the satellite focus position; and set the target imaging gain to the current imaging gain of the target satellite.

[0064] In one embodiment of the present application, optionally, the device further includes:

[0065] a historical imaging data acquisition unit, configured to acquire historical imaging data before the second imaging control parameter adjustment unit adjusts the second imaging control parameter of the target satellite, wherein the historical imaging data includes imaging quality association information and historical imaging gain of valid historical images;

[0066] A model training unit is used to iteratively train the imaging gain prediction model based on the imaging quality association information and historical imaging gain of the valid historical image until the deviation percentage between the model output result and the historical imaging gain of the valid historical image is less than or equal to a preset deviation threshold.

[0067] In one embodiment of the present application, optionally, the second imaging control parameter adjustment unit includes:

[0068] The second processing unit is used to obtain the first eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type of the satellite's focus position; normalize the first eigenvalues ​​to obtain the second eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type; perform weighted summation processing on the second eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type to obtain the imaging gain requirement of the satellite's focus position; determine the parameter range to which the imaging gain requirement belongs, and determine the imaging gain corresponding to the parameter range as the target imaging gain of the target satellite; and set the target imaging gain as the current imaging gain of the target satellite.

[0069] In a third aspect, an embodiment of the present application provides a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are configured to execute the method described in the first aspect above.

[0070] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the method described in the first aspect above.

[0071] The above technical scheme aims at the technical problem that the adjustment method of satellite imaging related parameters in the related technology is difficult to meet the high-precision imaging requirements. The imaging control parameters other than the imaging gain of the target satellite are first adjusted as the first measure to improve the satellite imaging quality. Then, if the adjusted imaging quality still does not meet the current imaging requirements, the imaging gain of the target satellite can be further adjusted based on the illumination angle, climate type, real-time weather information and ground object type of the satellite focus position, which are environmental characteristics that have an impact on the imaging quality of the target satellite. This can effectively increase the accuracy of the imaging gain of the target satellite, make the adjusted imaging gain and even the imaging quality more accurate, and more adapted to the imaging business requirements of the target satellite for the real-time satellite focus position. Combined with the dual parameter adjustment method, the imaging parameters of each satellite can be gradually and effectively improved in an all-round way to achieve the purpose of improving the satellite imaging quality.

Brief Description of the Drawings

[0072] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0073] Figure 1 A flowchart of a satellite imaging control method according to an embodiment of the present application is shown;

[0074] Figure 2 A flowchart of a satellite imaging control method according to another embodiment of the present application is shown;

[0075] Figure 3 A flowchart of a satellite imaging control method according to another embodiment of the present application is shown;

[0076] Figure 4 A block diagram of a satellite imaging control device according to an embodiment of the present application is shown;

[0077] Figure 5 A block diagram of a computer device according to an embodiment of the present application is shown;

[0078] Figure 6 A block diagram of a computer device according to another embodiment of the present application is shown. [Specific implementation method]

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] Figure 1 A flowchart of a satellite imaging control method according to an embodiment of the present application is shown.

[0081] like Figure 1 As shown, a satellite imaging control method according to an embodiment of the present application includes:

[0082] Step 102: Acquire image quality attribute information of a first real-time image of a satellite focus position by a target satellite.

[0083] The satellite focus position includes but is not limited to any position within the satellite monitoring area, and optionally, the satellite monitoring area is any area on the earth. The image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging, and can be used as a criterion for judging the imaging quality of the target satellite.

[0084] Step 104: If the image quality attribute information of the first real-time imaging is within a preset low quality range, adjust the first imaging control parameter of the target satellite.

[0085] The first imaging control parameter is a configuration content that affects the image quality of the imaging system of the target satellite. Therefore, if the image quality attribute information of the first real-time imaging is within the preset low quality range, it means that the quality of the first real-time imaging is low. At this time, the imaging quality level of the target satellite can be adjusted by adjusting the first imaging control parameter.

[0086] In one possible design, the image quality attribute information includes but is not limited to one or more of the overall saturation of the image, the saturation of the background signal in the image, and the image noise.

[0087] The overall saturation of an image is a reflection of the overall contrast of the image. The higher the overall saturation of an image, the brighter the color of the image and the more obvious the contrast between light and dark areas. If the overall saturation of an image is too high, the imaging area may be a patch of white light, resulting in poor imaging quality. The higher the saturation of the background signal in an image, the more the background signal in the image can occupy the viewer's attention, affecting the focus on the foreground and indirectly leading to poor imaging quality. Image noise refers to the interference information in the imaging process. The more interference information there is, the lower the imaging quality.

[0088] In one possible design, the first imaging control parameter includes but is not limited to one or more of an imaging aperture, an imaging band, and an integration time.

[0089] Optionally, if the overall saturation of the first real-time image is greater than a first predetermined saturation threshold, the imaging aperture of the target satellite is reduced.

[0090] Optionally, if the saturation of the background signal in the first real-time image is greater than a second predetermined saturation threshold, the imaging aperture of the target satellite is reduced.

[0091] Optionally, if the image noise of the first real-time imaging is greater than a predetermined image noise threshold, the integration time of the target satellite is reduced, and / or the imaging band of the satellite focus position is changed.

[0092] Step 106: Acquire image quality attribute information of a second real-time image of the satellite focus position by the target satellite.

[0093] After adjusting the first imaging control parameter, the second real-time imaging may be acquired again to detect whether the imaging quality of the target satellite for which the first imaging control parameter is adjusted meets the required standard.

[0094] In a possible design, if the overall saturation of the first real-time image is greater than the first predetermined saturation threshold, it means that the signal obtained by the target satellite is saturated. At this time, the imaging band, saturation threshold, integration time of each imaging channel and imaging gain can be kept unchanged, and the imaging aperture can be reduced first. After reducing the imaging aperture, the overall saturation of the second real-time image is acquired. If the overall saturation of the second real-time image is still greater than the first predetermined saturation threshold, the subsequent step of adjusting the imaging gain is entered to reduce the imaging gain until the comprehensive signal-to-noise ratio is within a safe range.

[0095] In addition, while reducing the imaging gain, if the saturation of the background signal in the first real-time image is greater than the second predetermined saturation threshold, it means that too much background signal interferes with the detection of the target signal. The aperture can be gradually reduced to reduce the impact of the background signal, that is, the imaging gain and the aperture can be reduced at the same time until the comprehensive signal-to-noise ratio is within a safe range.

[0096] If the noise is too large, the image quality will be reduced, affecting the detection and identification of the target. At this time, the integration time can be reduced, the imaging gain can be reduced, or the imaging band can be changed to reduce the impact of noise and improve the signal quality until the comprehensive signal-to-noise ratio is within a safe range.

[0097] If the background signal is too large, reduce the aperture appropriately until the comprehensive signal-to-noise ratio is appropriate. When the background signal is too large, you can gradually reduce the aperture to reduce the impact of the background signal and restore the comprehensive signal-to-noise ratio to an appropriate level.

[0098] After adjusting the above parameters, a suitable comprehensive signal-to-noise ratio is achieved, and then the focus is adjusted using a hill climbing search algorithm with a threshold introduced to determine the exact position of the target. The threshold is introduced to overcome the interference of the local peak of the fluctuation, and optionally, the threshold is twice the standard deviation of the noise.

[0099] Step 108: If the image quality attribute information of the second real-time imaging is within a preset low quality range, the imaging quality associated information of the target satellite is obtained.

[0100] The imaging quality associated information is used to reflect the environmental characteristics that affect the imaging quality of the target satellite. These environmental characteristics are closely related to the imaging quality of the target satellite and can therefore be used as decisive conditions that affect the imaging gain of the target satellite.

[0101] In one possible design, the imaging quality-related information includes, but is not limited to, multiple items of illumination angle, climate type, real-time weather information, and land feature type at the satellite's focus location.

[0102] In one possible design, the imaging quality-related information of the target satellite is obtained at specified time intervals, that is, the imaging quality-related information is periodically obtained, and accordingly, the resetting of the imaging gain of the target satellite is periodically triggered, so as to periodically correct the imaging gain of the target satellite and increase the accuracy of the imaging gain of the target satellite to match the real-time imaging requirements.

[0103] In another possible design, when a change in the satellite focus position is detected, the imaging quality-related information of the target satellite is obtained. Once the satellite focus position changes, the imaging gain corresponding to the original focus position is no longer applicable to the new satellite focus position. If the imaging gain corresponding to the original focus position is still used, the satellite's imaging quality of the new satellite focus position will be poor. Therefore, each time the satellite focus position is changed, the imaging gain of the target satellite can be reset to increase the accuracy of the satellite's imaging of the current focus position and meet the high-quality imaging requirements for specific locations.

[0104] In another possible design, in response to the acquisition of the service level switching instruction for the satellite focus position, the imaging quality associated information of the target satellite is obtained, so as to determine the target imaging gain matching the switched service level based on the imaging quality associated information. Different services have different requirements for imaging accuracy. For example, the imaging quality requirements of surveying and mapping are much higher than those of meteorological observation and earth resource survey. Therefore, different service levels can be set for different services, and services with similar imaging quality requirements can be divided into the same service level. The higher the service level, the higher the required imaging accuracy. On this basis, each time the imaging service of the satellite is switched, it can be detected whether the service level of the imaging service has changed. If it has changed, a corresponding service level switching instruction is generated, and the imaging gain of the target satellite is reset by the service level switching instruction, so that the imaging gain of the target satellite is adjusted to a level compatible with the adjusted service level. In this way, the imaging gain of the target satellite can be customized for services with different imaging accuracy requirements to meet the imaging quality requirements of different services.

[0105] In a possible design, the climate type and real-time weather information of the satellite's focus location can be directly obtained from third-party software, such as map software, real-time weather software, etc. The illumination angle is obtained by obtaining the longitude information and latitude information of the satellite's focus location, and then setting the preset illumination angle corresponding to the latitude information as the illumination angle of the satellite's focus location. In other words, different dimensional information corresponds to preset illumination angles. After determining the latitude information of the satellite's focus location, the preset illumination angle corresponding to the dimensional information can be recognized as the illumination angle of the satellite's focus location.

[0106] In addition, the method for obtaining the type of land feature is as follows: based on the longitude information and the latitude information, locate the target grid to which the satellite focus position belongs in the satellite monitoring area, and finally, set the preset land feature type corresponding to the target grid as the land feature type of the satellite focus position. In other words, the satellite monitoring area is divided into grids in advance, and the preset land feature type corresponding to each grid is set, each grid has a corresponding longitude and latitude range, and the grid in which the satellite focus position is located can be determined based on the longitude and latitude of the satellite focus position, and finally, the preset land feature type corresponding to the grid where the longitude and latitude of the satellite focus position are located is set as the land feature type of the satellite focus position.

[0107] In a possible design, the grid division method includes: based on the ground object distribution information and longitude and latitude range information of the satellite monitoring area, the satellite monitoring area is grid-divided to form a storage matrix, wherein the element of the nth row and the mth column in the storage matrix is ​​the code of the ground object type corresponding to the grid formed by the nth latitude range and the mth longitude range of the satellite monitoring area. On this basis, based on the longitude information and the latitude information, the step of locating the target grid to which the satellite focus position belongs in the satellite monitoring area specifically includes: based on the storage matrix, retrieving the target longitude range and target latitude range hit by the longitude information and the latitude information respectively, and determining the grid corresponding to the target longitude range and the target latitude range in the storage matrix as the target grid to which the satellite focus position belongs in the satellite monitoring area. In this way, the ground object type of the satellite focus position can be accurately identified, laying a foundation for the subsequent calculation of accurate imaging gain.

[0108] Step 110, based on the imaging quality associated information, adjust the second imaging control parameter of the target satellite, wherein the second imaging control parameter includes an imaging gain, and optionally, the imaging gain is the number of electrons corresponding to a unit gray value in the image, indicating the conversion relationship between the number of electrons and the gray value, and is one of the key factors affecting the imaging quality. The imaging quality associated information reflects the environmental characteristics that affect the imaging quality of the target satellite. Different objects require different imaging gains. For example, the reflection of light by water is relatively weak, and a larger imaging gain is required to obtain a clearer image; the reflectivity of vegetation is higher than that of water, but still lower than that of objects such as cities; there are a large number of buildings and artificial surfaces in cities, with high reflectivity, and the required imaging gain is relatively low; mountains are mainly composed of rocks, etc., and the reflectivity is also lower than that of cities; the reflectivity of ice and snow is high, but it is usually not as complex as objects such as cities, and the required imaging gain is relatively small; the surface albedo of the desert is high, and the DN value obtained is large, so the required imaging gain is the smallest. Therefore, the imaging gain required by each object is arranged from large to small as water>vegetation>city>mountain>ice and snow>desert.

[0109] Therefore, in practical applications, when a satellite images different objects, if it is photographed according to a uniform imaging gain, the images of some objects may be too dark or too bright, which cannot meet the requirements of high-precision quantitative inversion. Therefore, when setting the imaging gain of the satellite, a variety of environmental characteristics including the type of object can be fully considered to obtain accurate and reliable imaging gain results. In other words, these environmental characteristics are closely related to the imaging quality of the target satellite, so the imaging quality association information actually reflects the level of imaging quality required by the target satellite when imaging the satellite's focus position. Therefore, the imaging quality association information can be used as a decisive condition affecting the imaging gain of the target satellite, and the target imaging gain of the target satellite is determined based on the imaging quality association information, and the current imaging gain of the target satellite is adjusted to the target imaging gain.

[0110] Finally, the current imaging gain is updated to the target imaging gain determined based on the imaging quality-related information, thereby completing the updating of the imaging gain.

[0111] The above technical scheme first adjusts the imaging control parameters other than the imaging gain of the target satellite as the first measure to improve the satellite imaging quality. Then, if the adjusted imaging quality still does not meet the current imaging requirements, the imaging gain of the target satellite can be further adjusted based on the illumination angle, climate type, real-time weather information and ground object type of the satellite focus position, which are environmental characteristics that have an impact on the imaging quality of the target satellite. This can effectively increase the accuracy of the imaging gain of the target satellite, so that the adjusted imaging gain and even the imaging quality are more accurate and more adapted to the imaging business requirements of the target satellite for the real-time satellite focus position. Combined with the dual parameter adjustment method, the imaging parameters of each satellite can be gradually and effectively improved in an all-round way to achieve the purpose of improving the satellite imaging quality.

[0112] Below through Figure 2 and Figure 3 Different ways of adjusting the second imaging control parameter of the target satellite in the aforementioned steps are described in detail.

[0113] Figure 2 A flowchart of a satellite imaging control method according to another embodiment of the present application is shown.

[0114] like Figure 2 As shown, a satellite imaging control method according to another embodiment of the present application includes:

[0115] Step 202: Obtain imaging quality related information of the target satellite.

[0116] Step 204: Using the imaging quality association information as input information of a pre-trained imaging gain prediction model, the target imaging gain of the target satellite is output through the imaging gain prediction model.

[0117] The imaging gain prediction model is used to reflect the correlation between the current imaging quality association information of the satellite focus position and the target imaging gain required for the satellite focus position. On this basis, the imaging quality association information can be used as input information of the imaging gain prediction model, and the required target imaging gain is output through the imaging gain prediction model. Of course, before the imaging quality association information is used as input information, each item of imaging quality association information can also be encoded and normalized so that each item of imaging quality association information is at the same order of magnitude, which is convenient for the imaging gain prediction model to calculate.

[0118] In one possible design, the imaging gain prediction model adopts a deep learning approach. Specifically, various algorithm types such as convolutional neural networks, long short-term memory neural networks, recurrent neural networks, and multi-layer perceptrons may be used.

[0119] In addition, the pre-training step for the imaging gain prediction model includes: acquiring historical imaging data, and iteratively training the imaging gain prediction model based on the imaging quality association information and historical imaging gain of the effective historical image until the deviation percentage between the model output result and the historical imaging gain of the effective historical image is less than or equal to a preset deviation threshold. The historical imaging data includes the imaging quality association information and historical imaging gain of the effective historical image.

[0120] That is to say, the preset deviation threshold reflects the maximum deviation between the prediction result output by the model and the actual historical imaging gain corresponding to the training data when the accuracy of the model output result can meet the current imaging quality requirements. On this basis, by making the initial imaging gain prediction model learn the correlation between the imaging quality association information and the historical imaging gain in the effective historical image, the imaging gain prediction model gradually adjusts its own parameters until the deviation percentage between the model output result and the historical imaging gain of the effective historical image is less than or equal to the preset deviation threshold, which means that the imaging gain prediction model can calculate the result that meets the current imaging quality requirements using the current parameters, and at this time, the iteration can be stopped.

[0121] Step 206: Adjust the current imaging gain of the target satellite to the target imaging gain.

[0122] The above technical solution, through deep learning, trains the imaging gain prediction model based on the correlation between the illumination angle, climate type, real-time weather information and land object type of the satellite focus position, which are environmental features that affect the imaging quality of the target satellite, and the imaging gain. Finally, by inputting the illumination angle, climate type, real-time weather information and land object type of the satellite focus position into the imaging gain prediction model, the imaging gain prediction model outputs the required imaging gain. Thus, the real-time and accurate automatic adjustment of the imaging gain of the target satellite is achieved, which can effectively increase the accuracy of the imaging gain of the target satellite, making the adjusted imaging gain and even the imaging quality more accurate, more adapted to the imaging business needs of the target satellite for the real-time satellite focus position, and improving the practicality of satellite imaging.

[0123] Figure 3 A flowchart of a satellite imaging control method according to yet another embodiment of the present application is shown.

[0124] like Figure 3 As shown, a satellite imaging control method according to another embodiment of the present application includes:

[0125] Step 302: Acquire imaging quality related information of the target satellite.

[0126] Step 304: Obtain first characteristic values ​​corresponding to the illumination angle, climate type, real-time weather information and ground feature type of the satellite focus position of the target satellite.

[0127] That is, the illumination angle, climate type, real-time weather information and ground feature type are encoded so that these feature information are converted into numerical form to facilitate subsequent calculations. Optionally, the encoding method includes but is not limited to onehot, ASCII, Unicode, UTF-8, GB123, Base64, etc.

[0128] Step 306: normalize the first eigenvalue to obtain second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information, and the land feature type, respectively.

[0129] Normalizing the first eigenvalues ​​can make them at the same order of magnitude, facilitating subsequent calculations.

[0130] Step 308 , performing weighted sum processing on the second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information and the ground feature type, to obtain the imaging gain requirement of the satellite focus position.

[0131] The second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information and the land object type respectively reflect the degree of influence of the illumination angle, the climate type, the real-time weather information and the land object type respectively on the imaging gain. The imaging gain requirement of the satellite focus position obtained by weighted summing up these second eigenvalues ​​reflects the degree of influence of the illumination angle, the climate type, the real-time weather information and the land object type on the imaging gain under the combined effect of multiple dimensions.

[0132] In one possible design, the weights of the illumination angle, the climate type, the real-time weather information and the land feature type are set to be the contribution of the illumination angle, the climate type, the real-time weather information and the land feature type to the historical imaging gain of the effective historical image in the historical imaging data.

[0133] Step 310: determine the parameter range to which the imaging gain requirement belongs, and determine the imaging gain corresponding to the parameter range as the target imaging gain of the target satellite.

[0134] Multiple parameter ranges of imaging gain requirements can be set in advance, and corresponding imaging gains can be set for different parameter ranges. It can be said that the higher the imaging gain requirement, the higher the requirement for imaging quality, and the larger the corresponding imaging gain. On this basis, the imaging gain corresponding to the parameter range to which the imaging gain requirement belongs can be determined as the target imaging gain of the target satellite.

[0135] Step 312: Adjust the current imaging gain of the target satellite to the target imaging gain.

[0136] The above technical solution reflects the imaging demand level of the satellite focus area by calculating the weighted sum of multiple imaging quality related information of the satellite focus area, and sets the corresponding target imaging gain according to the imaging demand level. As a result, an imaging gain that meets the imaging demand reflected by environmental characteristics such as illumination angle, climate type, real-time weather information and ground object type can be set for the satellite focus area. When setting the imaging gain, the impact of these environmental factors on the imaging level is effectively considered, and the real-time and accurate automatic adjustment of the imaging gain of the target satellite is achieved, which can effectively increase the accuracy of the imaging gain of the target satellite, making the adjusted imaging gain and even the imaging quality more accurate, more suitable for the imaging business needs of the target satellite for the real-time satellite focus position, and improving the practicality of satellite imaging.

[0137] Figure 4 A block diagram of a satellite imaging control device according to an embodiment of the present application is shown;

[0138] like Figure 4As shown, the embodiment of the present application provides a satellite imaging control device 400, including:

[0139] A first attribute information acquisition unit 402 is used to acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging;

[0140] A first imaging control parameter adjustment unit 404 is configured to adjust a first imaging control parameter of the target satellite if the image quality attribute information of the first real-time imaging is within a preset low quality range, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time;

[0141] A second attribute information acquisition unit 406 is used to acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite;

[0142] An imaging quality associated information acquisition unit 408 is configured to acquire imaging quality associated information of the target satellite if the image quality attribute information of the second real-time imaging is within a preset low quality range, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite;

[0143] The second imaging control parameter adjustment unit 410 is used to adjust the second imaging control parameter of the target satellite based on the imaging quality associated information, wherein the second imaging control parameter includes an imaging gain.

[0144] In one embodiment of the present application, optionally, the image quality attribute information includes: one or more of: overall image saturation, saturation of background signals in the image, and image noise; the first imaging control parameter adjustment unit 404 is used to: if the overall saturation of the first real-time image is greater than a first predetermined saturation threshold, and / or, if the saturation of the background signal in the first real-time image is greater than a second predetermined saturation threshold, reduce the imaging aperture of the target satellite; if the image noise of the first real-time image is greater than a predetermined image noise threshold, reduce the integration time of the target satellite, and / or change the imaging band of the satellite focus position.

[0145] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit 408 includes:

[0146] The first execution unit is used to obtain the imaging quality related information of the target satellite at every specified time interval.

[0147] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit 408 includes:

[0148] The second execution unit is used to obtain the imaging quality related information of the target satellite when it is detected that the satellite focus position changes.

[0149] In one embodiment of the present application, optionally, the imaging quality related information acquisition unit 408 includes:

[0150] The third execution unit is used to obtain the imaging quality associated information of the target satellite in response to the acquisition of the service level switching instruction for the satellite focus position, so as to determine the target imaging gain matching the switched service level based on the imaging quality associated information.

[0151] In one embodiment of the present application, optionally, the imaging quality associated information includes multiple items of illumination angle, climate type, real-time weather information and ground feature type of the satellite focus position, and the imaging quality associated information acquisition unit 408 includes:

[0152] A longitude and latitude acquisition unit, used to acquire the longitude information and latitude information of the satellite focus position;

[0153] An illumination angle determination unit, configured to set a preset illumination angle corresponding to the latitude information as the illumination angle of the satellite focus position;

[0154] A grid positioning unit, configured to locate a target grid to which the satellite focus position belongs within a satellite monitoring area based on the longitude information and the latitude information;

[0155] The ground object type determination unit is used to set the preset ground object type corresponding to the target grid as the ground object type of the satellite focus position.

[0156] In one embodiment of the present application, optionally, the satellite imaging control device 400 further includes:

[0157] A grid division unit, used for, before the imaging quality associated information acquisition unit acquires the imaging quality associated information of the target satellite, gridding the satellite monitoring area based on the ground object distribution information and the latitude and longitude range information of the satellite monitoring area to form a storage matrix, wherein the element of the nth row and the mth column in the storage matrix is ​​a code of the ground object type corresponding to the grid formed by the nth latitude range and the mth longitude range of the satellite monitoring area;

[0158] The grid positioning unit is specifically used to: based on the storage matrix, retrieve the target longitude range and target latitude range hit by the longitude information and the latitude information respectively, and determine the grid corresponding to the target longitude range and the target latitude range in the storage matrix as the target grid to which the satellite focus position belongs in the satellite monitoring area.

[0159] In one embodiment of the present application, optionally, the second imaging control parameter adjustment unit 410 includes:

[0160] The first processing unit is used to use the imaging quality association information as input information of a pre-trained imaging gain prediction model, and output the target imaging gain of the target satellite through the imaging gain prediction model, wherein the imaging gain prediction model is used to reflect the association between the imaging quality association information of the current satellite focus position and the target imaging gain required for the satellite focus position; and set the target imaging gain to the current imaging gain of the target satellite.

[0161] In one embodiment of the present application, optionally, the satellite imaging control device 400 further includes:

[0162] A historical imaging data acquisition unit, configured to acquire historical imaging data before the second imaging control parameter adjustment unit adjusts the second imaging control parameter of the target satellite, wherein the historical imaging data includes imaging quality association information and historical imaging gain of valid historical images;

[0163] A model training unit is used to iteratively train the imaging gain prediction model based on the imaging quality association information and historical imaging gain of the valid historical images until the deviation percentage between the model output result and the historical imaging gain of the valid historical images is less than or equal to a preset deviation threshold.

[0164] In one embodiment of the present application, optionally, the second imaging control parameter adjustment unit 410 includes:

[0165] The second processing unit is used to obtain the first eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type of the satellite's focus position; normalize the first eigenvalues ​​to obtain the second eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type; perform weighted summation processing on the second eigenvalues ​​corresponding to the illumination angle, climate type, real-time weather information and land object type to obtain the imaging gain requirement of the satellite's focus position; determine the parameter range to which the imaging gain requirement belongs, and determine the imaging gain corresponding to the parameter range as the target imaging gain of the target satellite; and set the target imaging gain as the current imaging gain of the target satellite.

[0166] The device uses any one of the solutions described in the above embodiments, and therefore has all the above technical effects, which will not be repeated here.

[0167] In addition, in one embodiment, the present application provides a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 5 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, the method described in any of the above embodiments can be implemented.

[0168] In one embodiment, the present application further provides a computer device, which may be a client, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server via a network connection. When the computer program is executed by the processor, the method described in any of the above embodiments can be implemented.

[0169] Any of the above-mentioned computer devices in the embodiments of the present application may exist in various forms, including but not limited to:

[0170] (1) Mobile communication devices: These devices are characterized by their mobile communication functions and their main purpose is to provide voice and data communications. These terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

[0171] (2) Ultra-mobile personal computer devices: These devices fall into the category of personal computers, have computing and processing capabilities, and generally also have mobile Internet access features. These terminals include: PDA, MID and UMPC devices, such as iPad.

[0172] (3) Portable entertainment devices: These devices can display and play multimedia content. They include audio and video players (such as iPods), handheld game consoles, e-books, as well as smart toys, wearable devices, and portable car navigation devices.

[0173] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.

[0174] (5) Other electronic devices with data interaction functions.

[0175] In addition, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to perform the following steps:

[0176] Acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging;

[0177] If the image quality attribute information of the first real-time imaging is within a preset low quality range, adjusting a first imaging control parameter of the target satellite, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time;

[0178] Acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite;

[0179] If the image quality attribute information of the second real-time imaging is within a preset low quality range, acquiring imaging quality associated information of the target satellite, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite;

[0180] Based on the imaging quality associated information, a second imaging control parameter of the target satellite is adjusted, wherein the second imaging control parameter includes an imaging gain.

[0181] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant description in the aforementioned method embodiment. In order to avoid repetition, they will not be described one by one here.

[0182] The technical solution of the present application is described in detail above in combination with the accompanying drawings. Through the technical solution of the present application, the imaging control parameters other than the imaging gain of the target satellite are first adjusted as the first measure to improve the satellite imaging quality. Then, if the adjusted imaging quality still does not meet the current imaging requirements, the imaging gain of the target satellite can be further adjusted based on the illumination angle, climate type, real-time weather information and ground object type of the satellite focus position, which are environmental characteristics that have an impact on the imaging quality of the target satellite. This can effectively increase the accuracy of the imaging gain of the target satellite, so that the adjusted imaging gain and even the imaging quality are more accurate and more adapted to the imaging business requirements of the target satellite for the real-time satellite focus position. Combined with the dual parameter adjustment method, the imaging parameters of each satellite are gradually and effectively improved in an all-round way to achieve the purpose of improving the satellite imaging quality.

[0183] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0184] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0185] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0186] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0187] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0188] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0189] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A satellite imaging control method, characterized in that: include: Acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging; If the image quality attribute information of the first real-time imaging is within a preset low quality range, adjusting a first imaging control parameter of the target satellite, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time; Acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite; If the image quality attribute information of the second real-time imaging is within a preset low quality range, acquiring imaging quality associated information of the target satellite, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite; Based on the imaging quality associated information, a second imaging control parameter of the target satellite is adjusted, wherein the second imaging control parameter includes an imaging gain.

2. The method according to claim 1, characterized in that The image quality attribute information includes: one or more of the overall saturation of the image, the saturation of the background signal in the image, and the image noise; The step of adjusting the first imaging control parameter of the target satellite if the image quality attribute information of the first real-time imaging is within a preset low quality range comprises: If the overall saturation of the first real-time image is greater than a first predetermined saturation threshold, and / or if the saturation of the background signal in the first real-time image is greater than a second predetermined saturation threshold, reducing the imaging aperture of the target satellite; If the image noise of the first real-time imaging is greater than a predetermined image noise threshold, the integration time of the target satellite is reduced, and / or the imaging band of the satellite focus position is changed.

3. The method according to claim 1, characterized in that: The imaging quality associated information includes multiple items of illumination angle, climate type, real-time weather information and ground object type at the satellite focus position, and the method of obtaining the illumination angle and the ground object type from the imaging quality associated information of the target satellite includes: Obtaining the longitude and latitude information of the satellite's focus position; Setting the preset illumination angle corresponding to the latitude information as the illumination angle of the satellite focus position; and Based on the longitude information and the latitude information, locate the target grid to which the satellite focus position belongs within the satellite monitoring area; The preset feature type corresponding to the target grid is set as the feature type of the satellite focus position.

4. The method according to claim 3, characterized in that Before acquiring the imaging quality associated information of the target satellite, the method further includes: Based on the object distribution information and the longitude and latitude range information of the satellite monitoring area, the satellite monitoring area is gridded to form a storage matrix, wherein the element in the nth row and the mth column of the storage matrix is ​​the code of the object type corresponding to the grid formed by the nth latitude range and the mth longitude range of the satellite monitoring area; Then, locating the target grid to which the satellite focus position belongs within the satellite monitoring area based on the longitude information and the latitude information includes: Based on the storage matrix, the target longitude range and target latitude range hit by the longitude information and the latitude information are retrieved, and the grids corresponding to the target longitude range and the target latitude range in the storage matrix are determined as the target grids to which the satellite focus position belongs within the satellite monitoring area.

5. The method according to any one of claims 1 to 4, characterized in that The adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information includes: The imaging quality association information is used as input information of a pre-trained imaging gain prediction model, and the target imaging gain of the target satellite is output through the imaging gain prediction model, wherein the imaging gain prediction model is used to reflect the association relationship between the current imaging quality association information of the satellite focus position and the target imaging gain required for the satellite focus position; The target imaging gain is set to the current imaging gain of the target satellite.

6. The method according to claim 5, characterized in that Before adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information, the method further includes: Acquiring historical imaging data, wherein the historical imaging data includes imaging quality association information and historical imaging gain of effective historical images; Based on the imaging quality association information and historical imaging gain of the valid historical images, the imaging gain prediction model is iteratively trained until the deviation percentage between the model output result and the historical imaging gain of the valid historical images is less than or equal to a preset deviation threshold.

7. The method according to any one of claims 1 to 4, characterized in that The adjusting the second imaging control parameter of the target satellite based on the imaging quality associated information includes: Obtain first characteristic values ​​corresponding to the illumination angle, climate type, real-time weather information and ground feature type of the satellite focus location respectively; Normalizing the first eigenvalue to obtain second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information, and the land feature type; Performing weighted sum processing on the second eigenvalues ​​corresponding to the illumination angle, the climate type, the real-time weather information, and the ground feature type, respectively, to obtain the imaging gain requirement of the satellite focus position; Determining a parameter range to which the imaging gain requirement belongs, and determining an imaging gain corresponding to the parameter range as the target imaging gain of the target satellite; The target imaging gain is set to the current imaging gain of the target satellite.

8. A satellite imaging control device, characterized in that: include: A first attribute information acquisition unit is used to acquire image quality attribute information of a first real-time imaging of a satellite focus position by a target satellite, wherein the image quality attribute information is used to reflect the imaging quality of the display content of the first real-time imaging; A first imaging control parameter adjustment unit, configured to adjust a first imaging control parameter of the target satellite if the image quality attribute information of the first real-time imaging is within a preset low quality range, wherein the first imaging control parameter includes one or more of an imaging aperture, an imaging band, and an integration time; A second attribute information acquisition unit, used to acquire image quality attribute information of a second real-time imaging of the satellite focus position by the target satellite; an imaging quality associated information acquisition unit, configured to acquire imaging quality associated information of the target satellite if the image quality attribute information of the second real-time imaging is within a preset low quality range, wherein the imaging quality associated information is used to reflect environmental features that have an impact on the imaging quality of the target satellite; The second imaging control parameter adjustment unit is used to adjust the second imaging control parameter of the target satellite based on the imaging quality associated information, wherein the second imaging control parameter includes an imaging gain.

9. A computer device, characterized in that: include: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are configured to enable the processor to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Computer executable instructions are stored, and the computer executable instructions are configured to execute the method according to any one of claims 1 to 7.

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